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Dataset Title:  SDC_MedSea_Climatology_TS_V2_monthly_pre_post_east_mediterranean_transient, 0.
125°, 1969-2001 Subscribe RSS
Institution:  SeaDataNet   (Dataset ID: SDC_MED_CLIM_TS_V2_m_pre_post_emt)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      24    522 days 16h 41m 44s (uneven)
  < slider >
 depth (m) ?      92    49.45055 (uneven)
  < slider >
 latitude (degrees_north) ?      129    0.125 (even)
  < slider >
 longitude (degrees_east) ?      367    0.125 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 Temperature (Sea Water In Situ Temperature, degree_C) ?
 Temperature_L1 (Sea Water In Situ Temperature masked using relative error threshold 0.3, degree_C) ?
 Temperature_L2 (Sea Water In Situ Temperature masked using relative error threshold 0.5, degree_C) ?
 Temperature_relerr (Relative error of Sea Water In Situ Temperature, 1) ?
 Salinity (Water body salinity, PSU) ?
 Salinity_L1 (Water body salinity masked using relative error threshold 0.3, PSU) ?
 Salinity_L2 (Water body salinity masked using relative error threshold 0.5, PSU) ?
 Salinity_relerr (Relative error of Water body salinity, PSU) ?

File type: (more information)

(Documentation / Bypass this form) ?
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range -3.024e+7, 1.0084608e+9;
    String axis "T";
    String calendar "standard";
    String climatology "climatology_bounds";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 actual_range 0.0, 4500.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 30.0, 46.0;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -9.25, 36.5;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Temperature {
    Float32 _FillValue 9.96921e+36;
    String cell_methods "time: mean within years time: mean over years";
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Sea Water In Situ Temperature";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_temperature";
    String units "degree_C";
  }
  Temperature_L1 {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Sea Water In Situ Temperature masked using relative error threshold 0.3";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_temperature";
    String units "degree_C";
  }
  Temperature_L2 {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Sea Water In Situ Temperature masked using relative error threshold 0.5";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_temperature";
    String units "degree_C";
  }
  Temperature_relerr {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String long_name "Relative error of Sea Water In Situ Temperature";
    Float32 missing_value 9.96921e+36;
    String units "1";
    Float32 valid_max 1.0;
    Float32 valid_min 0.0;
  }
  Salinity {
    Float32 _FillValue 9.96921e+36;
    String cell_methods "time: mean within years time: mean over years";
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String long_name "Water body salinity";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  Salinity_L1 {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String long_name "Water body salinity masked using relative error threshold 0.3";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  Salinity_L2 {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String long_name "Water body salinity masked using relative error threshold 0.5";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  Salinity_relerr {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String long_name "Relative error of Water body salinity";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
    Float32 valid_max 1.0;
    Float32 valid_min 0.0;
  }
  NC_GLOBAL {
    String abstract "SDC_MED_CLIM_TS_V2 product contains Temperature and Salinity climatological fields for the Mediterranean Sea computed from SeaDataNet infrastructure and CORA (Coriolis Ocean dataset for ReAnalysis) integrated dataset. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions) version 2.6.1";
    String acknowledgement "EC H2020 grant #730960 SeaDataCloud";
    String area_keywords "Mediterranean Sea";
    String area_keywords_urn "SDN:C19::3_1";
    String Author_e_mail "Paolo Oliveri <paolo.oliveri@ingv.it>, Simona Simoncelli <simona.simoncelli@ingv.it, Gelsomina Mattia <gelsomina.mattia@ingv.it>";
    String bathymetry_source "The GEBCO Digital Atlas published by the British Oceanographic Data Centre on behalf of IOC and IHO, 2003";
    String cdm_data_type "Grid";
    String comment "Duplicates removal and QC applied to the integrated dataset";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_name "Istituto Nazionale di Geofisica e Vulcanologia - Sede di Bologna";
    String creator_url "https://wwz.ifremer.fr/";
    String data_access "http://sdn.oceanbrowser.net/data/SeaDataCloud-domains";
    String date "2020-12-07T15:19:34";
    String documentation "https://dx.doi.org/doi_of_doc";
    String doi "https://doi.org/10.12770/ad07a55f-5de7-4abc-ba89-8899b16c4b59";
    Float64 Easternmost_Easting 36.5;
    String file_name "/media/Climatologie/SeaDataCloud/Output/V2/Temperature/monthly/Temperature_climatology_post_EMT_v2.nc";
    Float64 geospatial_lat_max 46.0;
    Float64 geospatial_lat_min 30.0;
    Float64 geospatial_lat_resolution 0.125;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 36.5;
    Float64 geospatial_lon_min -9.25;
    Float64 geospatial_lon_resolution 0.125;
    String geospatial_lon_units "degrees_east";
    String history 
"observational data from SeaDataNet, CORA 5.2
2024-11-12T09:59:02Z (local files)
2024-11-12T09:59:02Z https://erddap.ifremer.fr/erddap/griddap/SDC_MED_CLIM_TS_V2_m_pre_post_emt.das
2024-11-23T08:09:57Z https://erddap.ifremer.fr/erddap/griddap/SDC_MED_CLIM_TS_V2_m_pre_post_emt
2024-11-23T08:09:57Z http://erddap.emodnet-physics.eu/erddap/griddap/SDC_MED_CLIM_TS_V2_m_pre_post_emt.das";
    String infoUrl "https://doi.org/10.12770/ad07a55f-5de7-4abc-ba89-8899b16c4b59";
    String institution "SeaDataNet";
    String institution_urn "SDN:EDMO::251";
    String keywords "analysis, body, bologna, climatology, data, density, depth, diva, earth, Earth Science > Oceans > Ocean Temperature > Water Temperature, Earth Science > Oceans > Salinity/Density > Salinity, east, error, geofisica, insitu, istituto, its, its-90, latitude, longitude, masked, mediterranean, medsea, month, monthly, nazionale, ocean, oceans, post, practical, pre, relative, salinity, Salinity_L1, Salinity_L2, Salinity_relerr, science, sdc, sea, sea_water_practical_salinity, sea_water_temperature, seadatanet, seawater, sede, situ, temperature, temperature_l1, temperature_l2, temperature_relerr, threshold, time, transient, using, vulcanologia, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    Float64 Northernmost_Northing 46.0;
    String parameter_keyword "ITS-90 water temperature";
    String parameter_keyword_urn "SDN:P35::WATERTEMP";
    String product_code "SDC_MED_CLIM_TS_V2";
    String product_id "3aa60fc6-3897-11eb-26b0-895a25b6a877";
    String product_version "2.0";
    String production "INGV oceanography group. Emails: paolo.oliveri@ingv.it; simona.simoncelli@ingv.it; gelsomina.mattia@ingv.it";
    String project "SeaDataCloud";
    String search_keywords "Temperature of the water column";
    String search_keywords_urn "SDN:P02::TEMP";
    String source "observational data from SeaDataNet, CORA 5.2";
    String sourceUrl "https://erddap.ifremer.fr/erddap/griddap/SDC_MED_CLIM_TS_V2_m_pre_post_emt";
    Float64 Southernmost_Northing 30.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "SDC_MED_CLIM_TS_V2 product contains Temperature and Salinity climatological fields for the Mediterranean Sea computed from SeaDataNet infrastructure and CORA (Coriolis Ocean dataset for ReAnalysis) integrated dataset. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions) version 2.4.0";
    String time_coverage_end "2001-12-16T00:00:00Z";
    String time_coverage_start "1969-01-16T00:00:00Z";
    String title "SDC_MedSea_Climatology_TS_V2_monthly_pre_post_east_mediterranean_transient, 0.125°, 1969-2001";
    String WEB_visualisation "http://sdn.oceanbrowser.net/web-vis/";
    Float64 Westernmost_Easting -9.25;
  }
}

 

Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its projection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.


 
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